Datasets:
File size: 2,255 Bytes
cbce0dd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
---
license: cc-by-nc-nd-4.0
task_categories:
- visual-question-answering
size_categories:
- 1K<n<10K
---
# A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification
## Paper
Accepted at *The 12th Workshop on Fine-Grained Visual Categorization* ([FGVC12](https://sites.google.com/view/fgvc12)) at *IEEE/CVF Conference on Computer Vision and Pattern Recognition* ([CVPR](https://cvpr.thecvf.com/)) 2025.
## Overview
The **Retail Visual RAG Pipeline Dataset** is a subset of the *Retail-786k* ([Retail-786k](https://www.retail-786k.org/)) image dataset, supplemented with additional textual data per image.
### Data
- **Image Data:**
- The images are cropped from scanned advertisement leaflets.
- The image data is divided into `train` and `test` splits.
- **Product and Promotion Data:**
Product Data:
- Product data contains the targets: brand, product category, GTINs, product weight, and different sorts.
- If a promotion covers a variety of different types/flavors of the product, the GTIN of each type is recorded.
Promotion Data:
- Promotion data contains the targets: price, regular price, and relative discount or absolute discount.
## Usage
You can load and use the dataset with the Hugging Face `datasets` library.
```python
import pandas as pd
from datasets import load_dataset
image_dataset = load_dataset("blamm/retail_visual_rag_pipeline", trust_remote_code=True)
product_promotion_data = load_dataset("blamm/retail_visual_rag_pipeline", data_files={'train':'train.parquet', 'test':'test.parquet'})
df_test = product_promotion_data['test'].to_pandas()
filename = '1166.jpg'
example_data = df_test.loc[df_test.filename == filename]
# Show product and promotion data
print(example_data)
image = image_dataset['test']['image'][example_data.index[0]]
# Show image
image.show()
```
<img src="figures/example_dataset_sample.png" alt="data_sample" width="300"/>
The *Dataset for Visual RAG pipeline* is used to evaluate the introduced Visual RAG pipeline. See the paper for explaination and evaluation of the Visual RAG pipeline.
## License
This dataset is licensed under a [Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International](https://creativecommons.org/licenses/by-nc-nd/4.0/) |